Cementitious metamaterials for low-frequency vibration suppression: Inverse design and performance analysis

Low-frequency vibrations pose serious risks to both human well-being and the service life of critical infrastructure systems. To address this issue, this study proposed a data-driven design strategy for cementitious metamaterials that enable low-frequency vibration suppression and precise control of vibrational characteristics. A dynamic model of elastic wave propagation is established and solved using numerical methods, enabling the analysis of dispersion curves and vibration modes. The effectiveness of this approach is further validated through both experimental low-frequency vibration tests and numerical transmission loss models, confirming its precision and applicability. Through the adjustment of geometry and cement density, a diverse array of cementitious metamaterials is created. The vibrational properties of each unique configuration are meticulously analyzed to construct a comprehensive dataset, which serves as the foundation for training a fully connected neural network and a Genetic Algorithm-optimized network. This enables precise forward and inverse design, allowing for tailored control of vibration properties. The results reveal that the engineered metamaterials exhibit remarkable vibration suppression in the low-frequency range, showcasing their potential for impactful applications. These cementitious metamaterials hold significant promises in fields such as construction engineering, offering innovative solutions for vibration control in structures like offshore floating platforms.